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Eunji Jun
Eunji Jun
Department of Brain and Cognitive Engineering, Korea University
korea.ac.kr의 이메일 확인됨
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Deep recurrent spatio-temporal neural network for motor imagery based BCI
W Ko, J Yoon, E Kang, E Jun, JS Choi, HI Suk
2018 6th International Conference on Brain-Computer Interface (BCI), 1-3, 2018
252018
Stochastic imputation and uncertainty-aware attention to EHR for mortality prediction
E Jun, AW Mulyadi, HI Suk
2019 International Joint Conference on Neural Networks (IJCNN), 1-7, 2019
132019
Uncertainty-gated stochastic sequential model for ehr mortality prediction
E Jun, AW Mulyadi, J Choi, HI Suk
IEEE Transactions on Neural Networks and Learning Systems 32 (9), 4052-4062, 2020
122020
Uncertainty-aware variational-recurrent imputation network for clinical time series
AW Mulyadi, E Jun, HI Suk
IEEE Transactions on Cybernetics, 2021
112021
Identifying resting‐state effective connectivity abnormalities in drug‐naïve major depressive disorder diagnosis via graph convolutional networks
E Jun, KS Na, W Kang, J Lee, HI Suk, BJ Ham
Human Brain Mapping 41 (17), 4997-5014, 2020
112020
Modeling regional dynamics in low-frequency fluctuation and its application to autism spectrum disorder diagnosis
E Jun, E Kang, J Choi, HI Suk
NeuroImage 184, 669-686, 2019
102019
Medical transformer: Universal brain encoder for 3D MRI analysis
E Jun, S Jeong, DW Heo, HI Suk
arXiv preprint arXiv:2104.13633, 2021
92021
Deep recurrent model for individualized prediction of Alzheimer’s disease progression
W Jung, E Jun, HI Suk, Alzheimer’s Disease Neuroimaging Initiative
Neuroimage 237, 118143, 2021
62021
Region-wise stochastic pattern modeling for autism spectrum disorder identification and temporal dynamics analysis
E Jun, HI Suk
International Workshop on Connectomics in Neuroimaging, 143-151, 2017
32017
Deep recurrent disease progression model for conversion-time prediction of Alzheimer’s disease
W Jung, E Jun, HI Suk, ADN Initiative
arXiv preprint arXiv:2005.02643, 2020
22020
Multi-view Integrative Attention-based Deep Representation Learning for Irregular Clinical Time-series Data
Y Lee, E Jun, J Choi, HI Suk
IEEE Journal of Biomedical and Health Informatics, 2022
2022
Multi-view Integration Learning for Irregularly-sampled Clinical Time Series
Y Lee, E Jun, HI Suk
arXiv preprint arXiv:2101.09986, 2021
2021
Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series
A Wisnu Mulyadi, E Jun, HI Suk
arXiv e-prints, arXiv: 2003.00662, 2020
2020
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학술자료 1–13